Genome-wide Gene Expression Profiling Research Articles

Omics for prediction of environmental health effects: Blood leukocyte-based cross-omic profiling reliably predicts diseases associated with tobacco smoking.

The utility of blood-based omic profiles for linking environmental exposures to their potential health effects was evaluated in 649 individuals, drawn from the general population, in relation to tobacco smoking, an exposure with well-characterised health effects. Using disease connectivity analysis, we found that the combination of smoking-modified, genome-wide gene (including miRNA) expression and DNA methylation profiles predicts with remarkable reliability most diseases and conditions independently known to be causally associated with smoking (indicative estimates of sensitivity and positive predictive value 94% and 84%, respectively). Bioinformatics analysis reveals the importance of a small number of smoking-modified, master-regulatory genes and suggest a central role for altered ubiquitination. The smoking-induced gene expression profiles overlap significantly with profiles present in blood cells of patients with lung cancer or coronary heart disease, diseases strongly associated with tobacco smoking. These results provide proof-of-principle support to the suggestion that omic profiling in peripheral blood has the potential of identifying early, disease-related perturbations caused by toxic exposures and may be a useful tool in hazard and risk assessment.

Transcriptome dynamics of a susceptible wheat upon Fusarium head blight reveals that molecular responses to Fusarium graminearum infection fit over the grain development processes.

In many plant/pathogen interactions, host susceptibility factors are key determinants of disease development promoting pathogen growth and spreading in plant tissues. In the Fusarium head blight (FHB) disease, the molecular basis of wheat susceptibility is still poorly understood while it could provide new insights into the understanding of the wheat/Fusarium graminearum (Fg) interaction and guide future breeding programs to produce cultivars with sustainable resistance. To identify the wheat grain candidate genes, a genome-wide gene expression profiling was performed in the French susceptible wheat cultivar, Recital. Gene-specific two-way ANOVA of about 40K transcripts at five grain developmental stages identified 1309 differentially expressed genes. Out of these, 536 were impacted by the Fg effect alone. Most of these Fg-responsive genes belonged to biological and molecular functions related to biotic and abiotic stresses indicating the activation of common stress pathways during susceptibility response of wheat grain to FHB. This analysis revealed also 773 other genes displaying either specific Fg-responsive profiles along with grain development stages or synergistic adjustments with the grain development effect. These genes were involved in various molecular pathways including primary metabolism, cell death, and gene expression reprogramming. An increasingly complex host response was revealed, as was the impact of both Fg infection and grain ontogeny on the transcription of wheat genes. This analysis provides a wealth of candidate genes and pathways involved in susceptibility responses to FHB and depicts new clues to the understanding of the susceptibility determinism in plant/pathogen interactions.

Abstract B22: Integrative analysis of DNA methylation and gene expression data reveals complex regulation of gastric cancer

Abstract Gastric cancer is a heterogeneous disease where diverse genetic and epigenetic alternations can accumulate in different molecular and histological subtypes. We applied our recently developed causality test between genome-wide DNA methylation and gene expression profiles to three independent cohorts of gastric tumors (97 in Hong Kong University (HKU), 159 in University of Singapore (Singapore) and 365 samples in TCGA stomach adenocarcinoma (TCGA) ). We focused on methylation variations within CpG islands in promoter regions, where global hypermethylation was observed, and identified 37, 62, and 537 key regulators in HKU, Singapore, and TCGA dataset respectively. There were 5 common key regulators (ADHFE1, CDO1, COX7A1, FSTL1, and TCF21) whose methylation variations had high impact on mRNA level changes of large number of downstream genes in all three dataset where different cohorts were profiled using different platforms. When we compared two dataset, there were 5 common key regulators in HKU and Singapore dataset (Fisher's exact test (FET) p-value = 2.9×e-07), 27 common key regulators in HKU and TCGA dataset (FET p-value = 6.8×e-35), and 30 common key regulators in Singapore and TCGA dataset (FET p-value = 1.0×e-29). By combining these, 52 genes were identified as key regulators within at least two dataset. Several of the key regulators were known for the association between their epigenetic disruption and the disease (for example, BNIP3, CDO1, TCF21, ZSCAN18, and so on) while other genes have not implicated in the gastric cancer previously. More interestingly, the downstream genes of these key regulators were significantly overlapped and the directions of correlation with methylation levels were almost same within the three dataset. Further clustering key regulators based on their downstream genes overlaps revealed that there were two distinct groups of downstream genes commonly regulated by these key regulators and the expression of these two groups were anti-correlated. One group was enriched for cell cycle related genes and the other group was enriched for genes involved in immune responses. This result indicates that cell cycle and immune response functions were inversely regulated by methylation variations of the same set of genes. It is worth to note that methylation patterns of some key regulators were subtype dependent and the subtype specific methylation patterns were only observed in tumor samples, but not in adjacent normal tissues. Based on integrative analysis of genome-wide DNA methylation and gene expression profiles within three independent gastric cancer dataset, we identified a set of key regulators whose methylation changes might play a ‘causal' role in the transcriptional regulation associated with the gastric cancer. Further experiments are needed to validate and dissect these putative candidate genes' roles in tumorigenesis and progression of this complex and heterogeneous disease. Citation Format: Seungyeul Yoo, Suet Yi Leung, Jun Zhu. Integrative analysis of DNA methylation and gene expression data reveals complex regulation of gastric cancer. [abstract]. In: Proceedings of the AACR Special Conference on Chromatin and Epigenetics in Cancer; Sep 24-27, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2016;76(2 Suppl):Abstract nr B22.

Abstract B30: Targeting EZH2 methyltransferase activity: A novel therapeutic approach to ARID1A-deficient cancer

Abstract Loss of function mutation of the epigenetic modulator ARID1A, a component of SWI/SNF chromatin remodeling complex, occurs in a number of cancers most notably ovarian. ARID1A is mutated in up to 60% and 30% of clear cell and endometrioid ovarian cancers, respectively. However, there currently is no effective therapy that targets ARID1A-deficient human cancers. Here we show ARID1A-deficient ovarian cancer cells are selectively sensitive to inhibition of EZH2's methyltransferase activity. EZH2 is the catalytic subunit of the polycomb repressor complex 2, which represses gene expression by generating tri-methylation epigenetic mark on lysine 27 of histone H3 (H3K27Me3). Utilizing a library of small molecules against epigenetic targets, we identified an EZH2 small molecule inhibitor that selectively inhibited the growth of ARID1A-deficient ovarian cancer cells, while exhibiting no effects in ARID1A wild-type cells. Genome-wide gene expression profile revealed that there is significant overlap of genes altered by ARID1A restoration and EZH2 methyltransferase inhibition. Specifically, the tumor suppressor and inhibitor of PI3K/AKT signaling, PIK3IP1, is regulated by both ARID1A and EZH2. Chromatin immunoprecipitation assays confirmed the occupancy of ARID1A and EZH2 at the PIK3IP1 promoter. In an intraperitoneal (IP) xenograft mouse model, EZH2 inhibitor GSK126 treatment resulted in a significant decrease in the number of IP tumor nodules. Moreover, in an independent orthotopic intra-bursal xenograft model using ARID1A wildtype and deficient cells, the EZH2 inhibitor GSK126 only suppressed the growth of ARID1A-deficient tumors. Notably, the observed effects correlated with a decrease in expression of H3K27Me3, pAKT and Ki67, a cell proliferation marker, and an increase in PIK3IP1. These data indicate loss of ARID1A and gain of EZH2 could act in epigenetic concert to promote cancer phenotypes. Taken together, these findings imply that inhibition of the methyltransferase EZH2 represents a novel therapeutic strategy for ARID1A-deficient cancers. Citation Format: Benjamin Bitler, Azat Garipov, Ie Ming Shih, Rugang Zhang. Targeting EZH2 methyltransferase activity: A novel therapeutic approach to ARID1A-deficient cancer. [abstract]. In: Proceedings of the AACR Special Conference on Chromatin and Epigenetics in Cancer; Sep 24-27, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2016;76(2 Suppl):Abstract nr B30.

Integrative analysis identifies targetable CREB1/FoxA1 transcriptional co-regulation as a predictor of prostate cancer recurrence.

Identifying prostate cancer-driving transcription factors (TFs) in addition to the androgen receptor promises to improve our ability to effectively diagnose and treat this disease. We employed an integrative genomics analysis of master TFs CREB1 and FoxA1 in androgen-dependent prostate cancer (ADPC) and castration-resistant prostate cancer (CRPC) cell lines, primary prostate cancer tissues and circulating tumor cells (CTCs) to investigate their role in defining prostate cancer gene expression profiles. Combining genome-wide binding site and gene expression profiles we define CREB1 as a critical driver of pro-survival, cell cycle and metabolic transcription programs. We show that CREB1 and FoxA1 co-localize and mutually influence each other's binding to define disease-driving transcription profiles associated with advanced prostate cancer. Gene expression analysis in human prostate cancer samples found that CREB1/FoxA1 target gene panels predict prostate cancer recurrence. Finally, we showed that this signaling pathway is sensitive to compounds that inhibit the transcription co-regulatory factor MED1. These findings not only reveal a novel, global transcriptional co-regulatory function of CREB1 and FoxA1, but also suggest CREB1/FoxA1 signaling is a targetable driver of prostate cancer progression and serves as a biomarker of poor clinical outcomes.

Racial differences in genome-wide methylation profiling and gene expression in breast tissues from healthy women

Breast cancer is more common in European Americans (EAs) than in African Americans (AAs) but mortality from breast cancer is higher among AAs. While there are racial differences in DNA methylation and gene expression in breast tumors, little is known whether such racial differences exist in breast tissues of healthy women. Genome-wide DNA methylation and gene expression profiling was performed in histologically normal breast tissues of healthy women. Linear regression models were used to identify differentially-methylated CpG sites (CpGs) between EAs (n = 61) and AAs (n = 22). Correlations for methylation and expression were assessed. Biological functions of the differentially-methylated genes were assigned using the Ingenuity Pathway Analysis. Among 485 differentially-methylated CpGs by race, 203 were hypermethylated in EAs, and 282 were hypermethylated in AAs. Promoter-related differentially-methylated CpGs were more frequently hypermethylated in EAs (52%) than AAs (27%) while gene body and intergenic CpGs were more frequently hypermethylated in AAs. The differentially-methylated CpGs were enriched for cancer-associated genes with roles in cell death and survival, cellular development, and cell-to-cell signaling. In a separate analysis for correlation in EAs and AAs, different patterns of correlation were found between EAs and AAs. The correlated genes showed different biological networks between EAs and AAs; networks were connected by Ubiquitin C. To our knowledge, this is the first comprehensive genome-wide study to identify differences in methylation and gene expression between EAs and AAs in breast tissues from healthy women. These findings may provide further insights regarding the contribution of epigenetic differences to racial disparities in breast cancer.

Genome-wide expression profiles of Pyropia haitanensis in response to osmotic stress by using deep sequencing technology.

BackgroundPyropia haitanensis is an economically important marine crop grown in harsh intertidal habitats of southern China; it is also an excellent model system for studying mechanisms of stress tolerance. To understand the molecular mechanisms underlying osmotic tolerance and adaptation to intertidal environments, a comprehensive analysis of genome-wide gene expression profiles in response to dehydration and rehydration in Py. haitanensis was undertaken using digital gene expression profile (DGE) approaches combined with de novo transcriptome sequencing.ResultsRNA-sequencing of the pooled RNA samples from different developmental phases and stress treatments was performed, which generated a total of 47.7 million clean reads. These reads were de novo assembled into 28,536 unigenes (≥200 bp), of which 18,217 unigenes (63.83 %) were annotated in at least one reference database. DGE analysis was performed on four treatments (two biological replicates per treatment), which included moderate dehydration, severe dehydration, rehydration, and normal conditions. The number of raw reads per sample ranged from 12.47 to 15.79 million, with an average of 14.69 million reads per sample. After quality filtering, the number of clean reads per sample ranged from 11.83 to 15.04 million. All distinct sequencing reads were annotated using the transcriptome of Py. haitanensis as reference. A total of 1,681 unigenes showed significant differential expression between moderate dehydration and normal conditions, in which 977 genes were upregulated, and 704 genes were downregulated. Between severe dehydration and normal conditions, 1,993 unigenes showed significantly altered expression, which included both upregulated (1,219) and downregulated genes (774). In addition, 1,086 differentially expressed genes were detected between rehydration and normal conditions, of which 720 genes were upregulated and 366 unigenes were downregulated. Most gene expression patterns in response to dehydration differed from that of rehydration, except for the synthesis of unsaturated fatty acids, several transcription factor families, and molecular chaperones that have been collectively implicated in the processes of dehydration and rehydration in Py. haitanensis.ConclusionsTaken together, these data provide a global high-resolution analysis of gene expression changes during osmotic stress that could potentially serve as a key resource for understanding the biology of osmotic acclimation in intertidal red seaweed.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-2226-5) contains supplementary material, which is available to authorized users.

Rap1A Regulates Osteoblastic Differentiation via the ERK and p38 Mediated Signaling.

Rap1A is a member of small G proteins belonging to the Ras family. Recently, an integration of human genome-wide association studies (GWAS) and gene expression profiling study revealed that single-nucleotide polymorphisms (SNPs) within human Rap1A were strongly associated with narrow neck width in women. However, the regulatory role of Rap1A in osteoblasts remains to be elucidated. Here we report that Rap1A is a key regulator in osteoblast differentiation. Rap1A expression and activity were gradually enhanced during the induced differentiation of multipotent mesenchymal progenitor cells (C2C12) and preosteoblastic cells (MC3T3-E1). Knockdown of endogenous Rap1A significantly inhibited the osteogenic marker gene expression and matrix mineralization in cells with osteogenesis. In addition, knockdown of endogenous Rap1A suppressed the activation of extracellular signal-regulated kinase (ERK) and p38 mitogen-activated protein kinase (MAPK), while overexpression of Rap1A accelerated osteoblast differentiation and enhanced the phosphorylation of ERK and p38. Taken together, our study suggests that Rap1A regulates osteoblast differentiation through modulating the ERK/p38 signaling.

Caveolae as a target to quench autoinduction of the metastatic phenotype in lung cancer.

PurposeMevalonate pathway inhibitors are potentially useful chemotherapeutic agents showing growth inhibition and pro-apoptotic effects in cancer cells. The effects of statins and bisphosphonates on cancer growth are attributed to a reduction in protein isoprenylation. Post-translational modification and activation of GTPase binding Ras superfamily permit the recruitment of these signal proteins to membranes where they mediate the cancer phenotype. Here, the effects of three inhibitors of the mevalonate pathway and one specific inhibitor of sterol regulatory element-binding proteins were studied in both an ER-negative, Ras-inactive breast (MDA-MB-231) and lung adenocarcinoma (CaLu-1) cells in vitro.MethodsTreated cells were subject to genome-wide gene expression profiling. A gene subset was established so that the epithelial to mesenchymal transition (EMT) could be observed and compared with signalling protein shifts.ResultsWithin the subset, some genes normally up-regulated during EMT were asymmetrically reduced by a Δ-24 DHCR inhibitor in the lung cells. Signalling proteins associated with caveolae were down-regulated by this oxidoreductase inhibitor, while those associated with membrane rafts were up-regulated.ConclusionsThis study decouples isoprenylation effects from cholesterol events per se. The data support a hypothesis that caveolae are abolished by Δ-24 DHCR intervention and it is revealed that these microdomains are vital EMT signalling structures for lung cells but not ER- and Ras-negative breast cells. When signalling by extracellular signals is quenched by removal of the hydrophilic conduit provided by caveolae, the transcriptome responds by moving the cellular identity towards quiescence.Electronic supplementary materialThe online version of this article (doi:10.1007/s00432-015-2074-3) contains supplementary material, which is available to authorized users.

Evaluation of Epigenetic Drug Targeting of Heterogenous Tumor Cell Fractions Using Potential Biomarkers of Response in Ovarian Cancer.

Resolution of aberrant epigenetic changes leading to altered gene expression during transformation and tumor progression is pertinent for mechanistic understanding of disrupted pathways in cancer. Such changes provide for biomarkers that can be applied in drug screening and improved disease management. Genome-wide profiling and analyses of promoter DNA methylation, histone modifications, and gene expression of an in vitro progression model of serous ovarian adenocarcinoma were carried out. Similar in silico analyses and comparison of methylation and gene expression of early- and late-grade ovarian cancer samples in The Cancer Genome Atlas assigned a clinical relevance to our study. Candidate biomarkers were evaluated for epigenetic drug treatments in experimental animal models on a background of differing tumor cell responses arising from intratumor heterogeneity. Differentially regulated genes during tumor progression were identified through the previously mentioned analyses as candidate biomarkers. In examining the tumor suppressor PTGIS as a potential biomarker for treatment with either 5-Aza-dC or TSA, 5-Aza-dC effectively stabilized cell cycling, restricted genetic instability, and derepressed PTGIS expression, while TSA led to emergence of drug-resistant progenitors lacking PTGIS expression. Profiling MEST and RXRγ for curcumin and CBB1007, respectively, indicated an inability of curcumin and CBB1007 in restricting residual tumor regenerative capabilities. Our study provides novel insights into epigenetic regulation in ovarian cancer progression and potential biomarkers for evaluating efficacy of epigenetic drugs in restricting residual tumor regeneration. Such approaches may assign a new functional interpretation of drug efficacy and cell tumor responses in ovarian cancer.

Abstract 18559: Double or Compound Sarcomere Mutations in Hypertrophic Cardiomyopathy is Not Associated With Worsened Outcomes: A Single Center Cohort Study

Background: The presence of two or more pathogenic sarcomere mutations in patients with hypertrophic cardiomyopathy (HCM) has been reported to be associated with early disease onset, particularly marked left ventricular (LV) hypertrophy, and advanced heart failure. Objective: The aim of the study was to clarify the relationship between multiple disease-causing sarcomere mutations and major cardiovascular outcomes in a large HCM cohort. Methods and Results: Between June 1, 1995, and January 2015, 1104 probands with a diagnosis of HCM were routinely referred for systematic sarcomeric mutational screening at a single HCM center. Pathogenic mutations were identified in 273 (25%). Of these patients, 10 (3.6%) were identified with double/compound sarcomere mutations. They were mostly male (70%), presented at an average age of 33±13 years (range, 21-58), with an average maximal wall thickness of 17 mm (range, 13-26). Of the 9 patients who had a cardiac MRI, 8 (88%) had late gadolinium enhancement (LGE), none of which were considered to be extensive (>20% of LV myocardium). Over a mean follow up of 17.4 ±14 years (range, 3-48 years) there were no sudden cardiac death events. Adverse cardiovascular events or severe disease progression occurred in 4 (40%) patients, with an event rate of 3.4 per 100 patient-years follow up including: 2 (20%) with stroke, 3 (30%) with progression to end-stage HCM (EF<50%), and 1 (10%) with progression to New York Heart Association III/IV symptoms. One patient had myectomy for obstructive symptoms, while none required cardiac transplantation. Three (30%) patients had implantable cardioverter-defibrillator (ICD) for primary prevention. However, over a mean follow-up of 6 years (range 1-14 years), no ICD discharges were documented. Conclusion: These observations do not support the hypothesis that double (or compound) mutations confer a gene dosage effect in HCM, nor is it associated with an adverse prognosis. Mutation analysis has proven imprecise in predicting the phenotype or prognosis for patients with HCM, suggesting that genome-wide association studies and gene expression profiling may be needed for better understanding of its utility in the management of HCM patients.

RNAseq Analysis Highlights Specific Transcriptome Signatures of Yeast and Mycelial Growth Phases in the Dutch Elm Disease FungusOphiostoma novo-ulmi

Fungal dimorphism is a complex trait and our understanding of the ability of fungi to display different growth morphologies is limited to a small number of model species. Here we study a highly aggressive dimorphic fungus, the ascomycete Ophiostoma novo-ulmi, which is a model in plant pathology and the causal agent of Dutch elm disease. The two growth phases that this fungus displays, i.e., a yeast phase and mycelial phase, are thought to be involved in key steps of disease development. We used RNAseq to investigate the genome-wide gene expression profiles that are associated with yeast and mycelial growth phases in vitro. Our results show a clear molecular distinction between yeast and mycelial phase gene expression profiles. Almost 12% of the gene content is differentially expressed between the two phases, which reveals specific functions related to each growth phase. We compared O. novo-ulmi transcriptome profiles with those of two model dimorphic fungi, Candida albicans and Histoplasma capsulatum. Few orthologs showed similar expression regulation between the two growth phases, which suggests that, globally, the genes associated with these two life forms are poorly conserved. This poor conservation underscores the importance of developing specific tools for emerging model species that are distantly related to the classical ones. Taken together, our results provide insights into transcriptome regulation and molecular specificity in O. novo-ulmi and offer a new perspective for understanding fungal dimorphism.

Integrated analysis of genome-wide DNA methylation, gene expression and protein expression profiles in molecular subtypes of WHO II-IV gliomas.

BackgroundGlioma is the most common malignant primary brain tumor among adults, among which glioblastoma (GBM) exhibits the highest malignancy. Despite current standard chemoradiation, glioma is still invariably fatal. A further insight into the molecular background of glioma is required to improve patient outcomes.MethodPrevious studies evaluated molecular genetic differences through comparing different grades of glioma. Here, we integrated DNA methylation, RNA sequencing and protein expression data sets of WHO grade II to IV gliomas, to screen for dysregulated genes in subtypes during malignant progression of glioma.ResultsWe propose a list of universal genes (UG) as novel glioma biomarkers: 977 up-regulated genes and 114 down-regulated genes, who involved in cell cycle, Wnt receptor signaling pathway and fatty acid metabolic process. Poorer survival was associated significantly with the high expression of 977 up-regulated genes and low expression of 114 down-regulated in UG (P <0.001).ConclusionTo our knowledge, this was the first study that focused on subtypes to detect dysregulated genes that could contribute to malignant progression. Furthermore, the differentially expressed genes profile may lead to the identification of new therapeutic targets for glioma patients.

Transcript profiling analysis reveals crucial genes regulating main metabolism during adventitious root formation in cuttings of Morus alba L.

Mulberry is an important economic crop spread widely in China for long time, and cutting is the most suitable method for good varieties in large scale propagation, which is limited by the low adventitious rooting rate. Currently, the regulation mechanisms in adventitious roots (AR) formation of mulberry (Morus alba L.) are not completely known. A genome-wide gene expression profiling was conducted by Solexa sequencing at pivotal stages. Differentially expressed annotated genes were obtained from the analysis of Gene Orthology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Orthology (KO). Some related genes were selected to confirm the altered expression levels by quantitative real-time PCR (qRT-PCR). By transcript profiling analysis we found differentially expressed genes associated with common pathways including hormone signal transduction, cell cycle, carbohydrate metabolism and energy metabolism that play important roles in AR formation (M. alba L), which were found more obvious in the period of root primordia formation, not initial formation of callus. In addition, the qRT-PCR confirmations agreed well with the results. The period of root primordia formation was verified to be more important during the whole procedure of AR formation in cuttings, mainly regulated by several critical signal pathways of hormones and effected by other genes in cell cycle and energy metabolism.

Gene-expression profiling of buccal epithelium among non-smoking women exposed to household air pollution from smoky coal.

In China's rural counties of Xuanwei and Fuyuan, lung cancer rates are among the highest in the world. While the elevated disease risk in this population has been linked to the usage of smoky (bituminous) coal as compared to smokeless (anthracite) coal, the underlying molecular changes associated with this exposure remains unclear. To understand the physiologic effects of smoky coal exposure, we analyzed the genome-wide gene-expression profiles in buccal epithelial cells collected from healthy, non-smoking female residents of Xuanwei and Fuyuan who burn smoky (n = 26) and smokeless (n = 9) coal. Gene-expression was profiled via microarrays, and changes associated with coal type were correlated to household levels of fine particulate matter (PM2.5) and polycyclic aromatic hydrocarbons (PAHs). Expression levels of 282 genes were altered with smoky versus smokeless coal exposure (P < 0.005), including the 2-fold increase of proinflammatory IL8 and decrease of proapoptotic CASP3. This signature was more correlated with carcinogenic PAHs (e.g. Benzo[a]pyrene; r = 0.41) than with non-carcinogenic PAHs (e.g. Fluorene; r = 0.08) or PM2.5 (r = 0.05). Genes altered with smoky coal exposure were concordantly enriched with tobacco exposure in previously profiled buccal biopsies of smokers and non-smokers (GSEA, q < 0.05). This is the first study to identify a signature of buccal epithelial gene-expression that is associated with smoky coal exposure, which in part is similar to the molecular response to tobacco smoke, thereby lending biologic plausibility to prior epidemiological studies that have linked this exposure to lung cancer risk.

Integrative analysis of genome-wide association studies and gene expression profiles identified candidate genes for osteoporosis in Kashin-Beck disease patients.

The molecular mechanism of osteoporosis (OP) in Kashin-Beck disease (KBD) patients was unclear. Our results suggest that KBD and OP shared some common causal genes, functionally involved in skeletal growth and development and chronic inflammation. Our results provide novel clues for clarifying the molecular mechanism of OP in KBD patients. KBD is a chronic skeletal disorder with osteopenia and OP. The pathogenesis of OP in KBD patients remains elusive. A total of 1717 subjects participated in this study. KBD was diagnosed according to the clinical diagnosis criteria of China (GB16395-1996). The bone mineral density (BMD) and bone areas of the ulna and radius, hip, and lumbar (L1-L4) were measured with a Hologic 4500 W dual-energy X-ray absorptiometry scanner. Genotyping was conducted using Affymetrix SNP Array 6.0. Gene expression profiling of peripheral blood mononuclear cells of KBD and OP patients were compared using Affymetrix HG-U133 plus 2.0 arrays and Agilent Human 1A arrays, respectively. Genome-wide association studies (GWAS) were conducted by PLINK. SCEA and DAVID were applied for pleiotropy and functional enrichment analysis, respectively. SCEA analysis observed significant pleiotropic effects between KBD and the ulna and radius BMD (P value = 5.99 × 10(-3)). GWAS meta-analysis identified six candidate genes with pleiotropic effects, including PDGFD, SOX5, DPYD, CTR9, SPP1, and COL4A1. GO analysis identified 16 significant GO shared by KBD and the ulna and radius BMD, involved in cell morphogenesis and apoptosis. Pathway enrichment analysis detected two common pathways for KBD and the ulna and radius BMD, including calcium signaling pathway and vascular smooth muscle contraction pathway. Gene expression analysis detected three up-regulated inflammation-related genes for KBD and OP, including IL1B, IL8, and CCL1. This study reported several candidate genes involved in the development of OP in KBD patients.

GW26-e1416 Peripheral blood based discrimination of Coronary Heart Disease from healthy people by genome-wide gene expression profiling in Chinese Han people

GW26-e1416 Peripheral blood based discrimination of Coronary Heart Disease from healthy people by genome-wide gene expression profiling in Chinese Han people

Gene expression profile of necrotizing enterocolitis model in neonatal mice

BackgroundNecrotizing enterocolitis (NEC) characterized by intestinal necrosis is one of the most common gastrointestinal emergencies in newborns. The main purpose of this study was to evaluate the whole genome expression levels in a NEC mouse model controlled with breast milk. MethodsThis study induced a NEC model in mice of gestational ages of 18–21 days by intensive hypoxic insult and permitted breast-feeding instead of formula feeding. After evaluating the NEC status in the small intestines of neonatal mice by histological examination, a genome-wide gene expression profile study was completed using microarray analysis. ResultsA total of 72 genes (38 down-regulated and 34 up-regulated) were observed to have significantly different expression profiles in the NEC mouse model compared with the normal control animals, based on a significance at fold change ≥ 2 and P < 0.05. In particular, down-regulated Hist1h2aa and up-regulated Ube2i showed the most significant signals (P = 0.0008 for both genes). In an additional gene ontology analysis, the endopeptidase related categories (specifically, serine-type endopeptidase inhibitor activity, P = 8.95 × 10−5; Pcorr = 0.008) appeared to affect NEC development in the mouse model. ConclusionAlthough replications and functional evaluations are needed, our results suggest that several genes may have different expression profiles in the NEC mouse model. In particular, endopeptidase related genes (which are also known to be relevant to NEC), as identified through gene ontology analysis, may represent attractive targets for future research.

Integration of Genome-Wide SNP Data and Gene-Expression Profiles Reveals Six Novel Loci and Regulatory Mechanisms for Amino Acids and Acylcarnitines in Whole Blood.

Profiling amino acids and acylcarnitines in whole blood spots is a powerful tool in the laboratory diagnosis of several inborn errors of metabolism. Emerging data suggests that altered blood levels of amino acids and acylcarnitines are also associated with common metabolic diseases in adults. Thus, the identification of common genetic determinants for blood metabolites might shed light on pathways contributing to human physiology and common diseases. We applied a targeted mass-spectrometry-based method to analyze whole blood concentrations of 96 amino acids, acylcarnitines and pathway associated metabolite ratios in a Central European cohort of 2,107 adults and performed genome-wide association (GWA) to identify genetic modifiers of metabolite concentrations. We discovered and replicated six novel loci associated with blood levels of total acylcarnitine, arginine (both on chromosome 6; rs12210538, rs17657775), propionylcarnitine (chromosome 10; rs12779637), 2-hydroxyisovalerylcarnitine (chromosome 21; rs1571700), stearoylcarnitine (chromosome 1; rs3811444), and aspartic acid traits (chromosome 8; rs750472). Based on an integrative analysis of expression quantitative trait loci in blood mononuclear cells and correlations between gene expressions and metabolite levels, we provide evidence for putative causative genes: SLC22A16 for total acylcarnitines, ARG1 for arginine, HLCS for 2-hydroxyisovalerylcarnitine, JAM3 for stearoylcarnitine via a trans-effect at chromosome 1, and PPP1R16A for aspartic acid traits. Further, we report replication and provide additional functional evidence for ten loci that have previously been published for metabolites measured in plasma, serum or urine.In conclusion, our integrative analysis of SNP, gene-expression and metabolite data points to novel genetic factors that may be involved in the regulation of human metabolism. At several loci, we provide evidence for metabolite regulation via gene-expression and observed overlaps with GWAS loci for common diseases. These results form a strong rationale for subsequent functional and disease-related studies.

Changes of transcriptome and proteome are associated with the enhanced post-anthesis high temperature tolerance induced by pre-anthesis heat priming in wheat

This study was to explore the mechanism of the enhanced tolerance to post-anthesis high temperature stress induced by pre-anthesis heat priming in wheat (Triticum aestivum L.). Genome-wide gene expression profiles by Affymetrix Wheat Genome Chip and proteome analysis by 2D electrophoresis and MALDI TOF/TOF were performed in the leaf after pre-anthesis heat priming and post-anthesis high temperature stress. Physiological analyses indicated that primed plants showed higher rates of photosynthesis, activities of antioxidant enzymes and lower cell membrane oxidative damage, suggesting a less high temperature damage in the primed plants. 88 gene probes and 8 protein spots were regulated after both pre-anthesis heat priming and post-anthesis high temperature stress, and the probes and proteins were expressed differently in primed plants from those in non-primed plants. Transcriptome and proteome analyses revealed up-regulation of the genes that encoded sensing and signaling, heat shock proteins, redox homeostasis, and down-regulation of the genes that encoded metabolism. The up-regulation and down-regulation might play protective roles in coping with the post-anthesis high temperature stress in the pre-anthesis heat primed plants compared with non-primed plants. It is concluded that pre-anthesis heat priming could initiate the acclimation responses at both transcriptome and proteome levels for enhancing heat tolerance at later stages in wheat plants. These results are of primary importance for understanding the effects of multi-heat stress on production of wheat crops in future climate change scenarios.